loha_fine_tuned_rte_XLMroberta

anzeo/loha_fine_tuned_rte_XLMroberta

loha_fine_tuned_rte_XLMroberta is a machine learning model from anzeo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: peft
License: mit
Access: Public
Created: May 22, 2024
Updated: May 22, 2024
SHA: 9a184d62

Base models

Model card

From the Hugging Face model README

loha_fine_tuned_rte_XLMroberta

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.0980
Accuracy: 0.6207
F1: 0.6090

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.003
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.8165	1.7241	50	0.7174	0.4828	0.3781
0.7386	3.4483	100	0.6616	0.6897	0.6523
0.7293	5.1724	150	0.7683	0.5172	0.4660
0.6773	6.8966	200	1.1129	0.4483	0.4324
0.4623	8.6207	250	1.7863	0.5862	0.5892
0.2532	10.3448	300	2.8440	0.5862	0.5483
0.0813	12.0690	350	3.0842	0.5517	0.5484
0.0478	13.7931	400	3.0980	0.6207	0.6090

Framework versions

PEFT 0.11.1
Transformers 4.40.2
Pytorch 2.1.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: mit
Created: May 22, 2024
Updated: May 22, 2024